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Although existing literature abounds with actual diversity research, there is scant work on perceived diversity. This research aims to investigate the impact of employees' perception of workplace diversity on job satisfaction and turnover intentions. Further, the research analyses the gender-moderating effect between the hypothesized connection.

Current research work uses a structural equation modeling (SEM) approach to analyze the hypothesized connection with 222 full-time employees working in the Indian service sector.

Study results showed that employees' perception of workplace diversity has a significant negative impact on job satisfaction, while having a significant positive effect on employees' turnover intentions. Moreover, employees' perception of workplace diversity does not vary across gender.

Though research work on perceived diversity is scant and growing at a slow pace, the current study adds to the diversity studies by assessing diversity through employees' perceptions instead of gleaning the actual diversity index.

Introduction: In a world characterised by volatility, uncertainty, complexity, and ambiguity, change is the only constant. Over the years, human resource management (HRM) has evolved from conventional functions of hiring and firing to being a strategic partner in organisations. Similarly, there has been a paradigm shift in the landscape of artificial intelligence (AI) from being a mere searching tool to the design and development of intelligent robots. Over the years, AI has emerged into a collection of powerful technologies re-inventing different functional areas, including HRM. The application of AI in HRM is perceived as an optimistic opportunity since it ought to bring maximum value at minimum cost. AI focuses on building tools that exhibit human-level intelligence and discernment in making decisions.

Purpose: The purpose of this chapter is to draw deeper insights into the relevance of AI in different functional areas of HRM. Integrating AI into HRM functions such as talent acquisition, training and development, performance management, employee engagement, and the like can help leverage efficiency and create an engaging employee experience. In the wake of Industry 4.0, where digitalisation has become imperative, this chapter explores the integration of AI into specific HR functions for a synergistic competitive advantage in companies. The purpose of this chapter is to signify the integration of AI into four vital functions of HRM, namely talent acquisition, training and development, performance management, and employee engagement. The objective is to chart how companies integrate various AI tools in four specific HRM functions to enhance efficiency. Also, the companies willing to implement AI in their HR functions can refer to the case studies used as exemplars in the chapter.

Methodology: This conceptual chapter is based on the secondary sources, which also build upon case studies of different companies that have implemented AI-enabled solutions and integrated them into different HRM functions and processes per needs. This chapter utilises the conceptual framework of both AI and HRM functions to give deeper insight into the challenges and implementation of technology-enabled solutions.

Findings: AI is used in HRM functions to automate repetitive and operational tasks to shift the focus to more strategic aspects. Despite many advantages of AI and machine learning, very few companies are using it, and companies may integrate technology-enabled solutions based on the size and nature of business.

The purpose of this paper is to examine and review the available literature on ethical/unethical behaviour of pharmaceutical companies and to determine the ethical issues, unethical behaviour by analysing, summarising and categorising the factors related to these issues and unethical behaviour as were studied during the period 2008-2017. Essentially, this paper presents a critical analysis of the available literature on the subject and avenues for future research.

This paper adopted the systematic review approach to achieve the purpose of this study and examines the most relevant literature from online existing database sources, available between 2008-2017 by using the keyword search method. Then studies are categorised and summarised, using previously developed theories and frameworks, which have provided evidence to the universal consensus that ethical behavioural outcomes are dependent on the interplay of individual, organisational and environmental factors and have reordered to fulfil the purpose.

The findings identify that ethical issues related to pharmaceutical companies as were studied during the period 2008-2017 are drug pricing, drug safety and gift-giving. The organisational variables appeared to be the dominant cause of these ethical issues and unethical practices along with other determinants such as environmental and stakeholders. A large number of studies were in the western country context. Theoretical research has studied more comparatively empirical studies.

This review provides insights for understanding the ethical issues, unethical behaviour and determinants related to these issues of pharmaceutical companies and provides insights where the literature is standing. This review only includes studies between 2008-2017, which are related to the ethical issue of pharmaceutical companies, therefore, the view is only of the past 10 years papers. This review provides gaps and insight into the source of ideas for future research and will help the researchers in guiding ethics-related information in the context of pharmaceutical companies.

This study will help the practitioners and policymakers in informing about the issues that required the urgent need to solve and will shed some light to focus and formulate strategies for successful competitive advantage. This study will help researchers who are seeking information related to ethics and ethical behaviour in pharmaceutical companies.

To the best of my knowledge, this review of understanding ethical/unethical behaviour in pharmaceutical companies of the past 10 years between 2008-2017 has not been done to date. This study is filling the gap by bringing all the information about ethics in pharmaceutical companies at one place, which works as an index of ethics-related study in this specific pharmaceutical company context.

This study aims to propose a conceptual framework for transition of brand trust to brand love in an uncertain market situation, from the perspective of cognitive-emotion theory (CET).

Since brand anthropomorphism is successfully established in branding research, this study takes cognitive characteristics of brand trust and emotional characteristic of brand love from extant literature to develop a conceptual framework for transformation of brand trust (cognition) into brand love (emotion). This study situates the relationship in the context of market uncertainty due to the COVID-19 pandemic. It focuses in the development of the conceptual framework by taking cognitive components of brand trust and brand behavioural characteristics as moderator, in uncertain market situation.

Findings suggest that transition of brand trust (cognition) to brand love (emotion) is possible in uncertain situation, and brand behavioural characteristics moderate this relationship. Brand behavioural characteristics are brand innovativeness, brand ethicality, brand empathy, brand expertise and brand agility, which have the potential to further strengthen the relationship in the given situation.

This research proposes a conceptual model and propositions that add a rich understanding to the relationship of brand trust and brand love, which requires empirical testing in any brand category context. Through a richer understanding of conditions and the underlying psychological mechanism, researchers and marketers, brand managers, policymakers and so forth can gain insights that aid strategic decision-making. Trusted brands can leverage on the situation by highlighting unique behavioural characteristics to establish a strong and sustainable long-term relationship.

The current research is an attempt to provide deeper insights from the perspective of CET, into the relationship of brand trust (cognition) and brand love (emotion) by introducing conditions under which a trusted brand becomes a lovable brand in uncertain market situation, thereby adding new knowledge to branding, customer-brand relationship sustainability, in uncertainty literature. The new perspective, that is CET, puts forward a novice view on the advantage of brand love over brand trust that could help in formulating strategic decisions in managing brands in crisis situation.

The purpose of this study is to provide information that reflects the true state of affairs and to develop a conceptual model that examines the moderating effect of uncertainty on relative brand trust–love.

Extant empirical studies, conceptual literature and related theories were identified and integrated to develop the conceptual model.

Findings of the study suggest that relative brand trust–love arises because of different components of uncertainty. Relative brand trust–love exhibited by the customer is moderated by uncertainty at the individual level, brand level and technology level. These uncertainties represent the situation that considers if relative brand trust–love can be enhanced. A few propositions have been suggested for such situations to enhance relative brand trust–love.

This paper proposes a conceptual model and also makes research propositions that need to be validated and confirmed empirically. It adds value to theoretical advancements in strengthening the customer–brand relationship. Furthermore, results suggest that relative brand trust–love can be improved over time if these components can be supported by increasing information at different levels. The conclusions will be informative to practitioners and brand managers in strengthening a brand into the market more effectively. Moreover, it can transform the brand into a global brand and help build sustainable long-term relationships. Findings can be useful and interesting information for the researchers who are interested in finding strategic ways for effective decision-making related to brand trust and brand love.

The conceptual model, and the propositions related to different levels of uncertainty, and its effect on relative brand trust–love, is a new approach in enhancing relative brand trust–love and hence helpful in strengthening the quality of customer–brand relationships.

This study aims to measure the staff satisfaction achieved with regard to the recently furnished modular operation theaters (MOTs).

A cross-sectional study through questionnaire-based interviews was done. Desired sample size for ANOVA design came out to be 25 per level at a level of significance of 5 per cent and a power of 85 per cent.

Overall, mean rating of the satisfaction of the staff was 7.52 with a standard deviation (SD) of 2.35. Mean ratings (with standard deviations) of surgeons, nurses and anesthetists were 7.14 (1.26), 7.21 (0.95) and 8.21 (0.48), respectively. One sample t-test showed that all the three categories of staff were satisfied. Post-hoc test revealed that the anesthetists were significantly more satisfied than the surgeons (p = 0) and the nurses (p = 0.001). Maximum satisfier was aseptic environment provided by the MOTs. Hatch box with ultraviolet technology also attracted high ratings from all the three categories. Staff considered all the probable advantages of MOTs, except air showers, significant with regard to its satisfaction and morale.

Findings suggest that initiatives such as effectively designed MOTs may contribute toward the satisfaction of all categories of staff working in operation theaters (OTs), which, in turn, may probably lead to better overall performance of these facilities. It is desirable that hospital planners in modern health-care systems give adequate importance to finer aspects of OT designing.

This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator.

For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3.

The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP.

As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings.

This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.

The purpose of this paper is to understand business students' intention to behave ethically in general, and in particularly in the business context of a developing country, India.

The paper surveyed 250 final semester MBA students from different business schools in Indore city of Madhya Pradesh in India. The study employed the most popular behavioural theory, the Theory of Planned Behaviour (TPB) to understand the intention of business students to behave ethically. Structural equation modelling was used to analyse direct effects of the constructs on behavioural intention, and the overall model.

Findings revealed that attitude, subjective norm and perceived behavioural control are positively related and have strong influence on ethical behavioural intention of business students. All constructs together explain 67 percent variance in intention. Attitude alone contributes 46 percent in explaining variance in ethical behavioural intention.

Business ethics field can benefit from this study as it provides an empirical explanation of the contribution of each factor that is, attitude, subjective norms and perceived behavioural control, in ethical behavioural intention of business students. This is directly beneficial for business schools and for education policymakers as the information can help policymakers to understand the potential of existing business ethics education. This study is limited to a data set of 250 business students in the context of a single country which cannot be generalized. So, there is need for research of this type in a more collaborative international context.

To the best of my knowledge, this is the first study in the Indian context to predict the intention of business students to behave ethically, using the TPB model. This study contributes valuable knowledge to the domain of business ethics, behavioural studies as well the field of business education, and suggests to explore ways to strengthen the three constructs attitude, subjective norm and perceived behavioural control, as these constructs were found to have a strong influence in forming ethical behavioural intention of business students of business schools in India.

This paper aims to provide a detailed study on the influence of slip flow and thermal jump over mixed convection flow along an exponentially stretching surface. Also, impacts of suction/blowing, volumetric heat source/sink and velocity ratio parameter will be studied in this analysis.

The modeled governing equations for the assumed problem are dimensional nonlinear partial differential equations in nature. To reduce these equations, non-similar transformations are used to get the dimensionless nonlinear partial differential equations. Then, quasi-linearization technique is used to linearize these non-dimensional nonlinear partial differential equations. Finally, an implicit finite difference scheme is used to discretize the resulting equations.

The physical explanations are provided for the variations of various non-dimensional governing parameters over the velocity and temperature profiles. Also, the effects of these dimensionless parameters on skin friction coefficient and heat transfer rate are scrutinized in a manner which highlights their physical interpretation. The detailed discussion exhibits the fact that the streamwise co-ordinate velocity ratio parameter, partial slip parameter and the thermal jump parameter have significant influence over the flow and thermal fields.

This work has not been reported in the literature to the authors’ best of knowledge.